Vectara and LangFlow announce integration of Vectara state-of-the-art Retrieval Augmented Generation and chat service with LangFlow’s easy-to-use no-code engine

Vectara, the Trusted Generative AI Product Platform, announces its integration with LangFlow, a leading open-source no-code platform for building LLM-powered applications.

Building an enterprise-scale RAG application requires dealing with lots of complex details: chunking, embedding, advanced retrieval (like hybrid search or MMR), and using the LLM correctly for summarization. When applied at scale, this is more complicated than it initially appears.

“At Vectara, we understand the complexity of building enterprise RAG that is scalable and secure, providing easy adoption by enterprise IT teams,” said Amin Ahmad, co-founder and CTO of Vectara. “All of the work we put into building the serverless RAG infrastructure behind Vectara’s platform is now available immediately to all users of LangFlow.”

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LangFlow has a vibrant community of users that utilize a wide array of components from the Langflow Store to build GenAI applications. With this partnership, LangFlow users can avoid the endless experimentation involved in stitching various data loaders, LLMs, and prompts together, and instead gain direct access to Vectara’s end-to-end RAG flow for question-answering, chatbots, or semantic search.

“We are thrilled to add this integration with Vectara. RAG continues to be adopted in the enterprise and the Vectara component significantly simplifies the effort needed to build Retrieval applications and reduces time-to-value,” said Rodrigo Nader, CEO and co-founder of LangFlow.

The GenAI market remains evolving at a rapid speed, and applications such as chatbots, questions answering, and research continue to enhance productivity across legal, healthcare, insurance and many other industry verticals.

“The combination of no-code from LangFlow with the RAG-in-a-box solution from Vectara helps practitioners quickly explore the applications that are most valuable to them,” said Ofer Mendelevitch, Head of Developer Relations at Vectara. “Users can be confident that their solution based on Vectara scales to meet their enterprise needs, and provide CISOs and CIOs the peace of mind they need to deploy GenAI applications in their organizations.”

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